We use the COCO (Common Objects in Context) [1]} dataset for training and evaluating the model. This dataset contains annotated images of everyday scenes and every image has five human-written text descriptions and 2D keypoints. The SMPL fittings are extracted using SPIN [2]} from images that contain humans which yields about \(35k\)  training sample.
